Cargando…
Artificial intelligence improves the accuracy of residents in the diagnosis of hip fractures: a multicenter study
BACKGROUND: Less experienced clinicians sometimes make misdiagnosis of hip fractures. We developed computer-aided diagnosis (CAD) system for hip fractures on plain X-rays using a deep learning model trained on a large dataset. In this study, we examined whether the accuracy of the diagnosis of hip f...
Autores principales: | Sato, Yoichi, Takegami, Yasuhiko, Asamoto, Takamune, Ono, Yutaro, Hidetoshi, Tsugeno, Goto, Ryosuke, Kitamura, Akira, Honda, Seiwa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091525/ https://www.ncbi.nlm.nih.gov/pubmed/33941145 http://dx.doi.org/10.1186/s12891-021-04260-2 |
Ejemplares similares
-
Deep Learning for Bone Mineral Density and T-Score Prediction from Chest X-rays: A Multicenter Study
por: Sato, Yoichi, et al.
Publicado: (2022) -
Pelvic Tilt Reduces the Accuracy of Acetabular Component Placement When Using a Portable Navigation System: An In Vitro Study
por: Asai, Hiroshi, et al.
Publicado: (2021) -
Arterial embolism due to massive cement leakage during total hip arthroplasty revision
por: Kazama, Yusuke, et al.
Publicado: (2021) -
Total hip arthroplasty after failed curved intertrochanteric varus osteotomy for avascular necrosis of the femoral head
por: Takegami, Yasuhiko, et al.
Publicado: (2016) -
Variation in Pollen-Donor Composition among Pollinators in an Entomophilous Tree Species, Castanea crenata, Revealed by Single-Pollen Genotyping
por: Hasegawa, Yoichi, et al.
Publicado: (2015)